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Me vs Client – My Very first Client Meeting

By :
4 minutes read

Remember the feeling that comes when you think you wrote all the right answers in the exam but when you are handed the mark sheet and you barely passed?

I am sure most of us have gone through that. 

Well, I experienced almost the same feeling in my early days at Mantra Labs.

I had gotten assigned to a new project and was super duper grateful for this big responsibility. I dived right into it and wanted to do all of it on my own. I really thought I did everything perfectly. 

We know what is said about perfection, it is difficult to achieve. 

“In design, there is no perfection, there is just iteration.” (Design Gyaan 001 )

This is exactly what I said to myself when I failed. (Big words)

My client was this really big organization. I was working till the very last minute for the first meeting and thought to give it my best.

I joined the call with all my designs and just assumed all my work and efforts would be well appreciated.

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BIG FAIL

The 2 words that best fit the first client meeting. It was everything I had not anticipated. 

There were almost 15 top management people present from their end. 

(Nervous alert – the feeling you get when you see the exam paper and know nothing). 

I suddenly realized I was not clear on how to introduce my concept and present my design. All the keywords in my brain seemed to have gone on vacation at that moment. 

(That’s how I wrote my exam answers. Not just me, most of us did.) 

Also, it wasn’t all my unpreparedness and nervousness that led to the downfall of that meeting. They had a very direct approach and their feedback was also not very clear.

I came out of the call almost in tears and was extremely put off.

UPSET

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That was the emotion I felt after it and thought I wasn’t ready for this big transition. Felt even worse thinking that all my hard work was for nothing.

The next day I got back to work. With the help of my managers, we changed our strategy for approaching the project. We did a brainstorming (whiteboarding) session with not just the design team, but also with project managers, marketing, and the business team. We scrapped all of our old designs and came up with 3 unique design ideas and iterated on these. 

I aligned the design process to match the client’s requirements and my company’s standards and prepared for the next meeting.

BIG PROGRESS

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Changing the strategy played into our hands and we were more confident with our new versions of designs. I understood where I faulted earlier and prepared for my meeting before. I made a small set of key pointers that helped me drive the conversation and explain my designs easily. 

“Always make notes before the exam for revision” (Design Gyaan 002 )

In the next meeting, the clients realized I had understood the assignment and we had a more fruitful discussion. We showed them our designs with the new strategies implemented and they reciprocated positively. We cracked the design pitch meeting in the second call and had a path to move forward.

I walked out of the second meeting with a big smile on my face. (It was like getting straight A’s)

I did realize the places where I was lacking and needed to work on and since then I have started to maintain all these as part of my practice.

NOW FOR THE …..REPORT CARD

1. Agenda: Innovate and not just design

All the research, competitor study, beautiful elements, and trending UI styles didn’t work. While approaching a project it’s the innovation behind it that stands out and makes it work and not the research combined with beautiful design. New ideas don’t exist, until you come up with one.

2. Notebook: Writing in a notebook helps.

The old-fashioned pen-paper approach is key. Writing down keywords for your design that will help you in explaining your audience about it will make it easier for you. It helps you put all your thoughts in place and you won’t miss out on the important things you need to convey. Also, don’t make the mistake of doing this in your Notes app on the laptop because mostly you will be sharing your screen. 

3. Pointers: Prioritise Goals

Make a list of all the tasks in your bucket and choose the top 5 tasks to complete. For that particular day, you can prioritize 3 tasks, one simple, one major requirement, and one that interests you. Do the simple one first and this will help you check one off and give you a sense of accomplishment. Then take up the major one and then the last one. You would have completed a major task and also be happy at the end of the day with doing the one that interests you.

4. Subject knowledge: Know your tool properly to be the best!

I learnt greatly more about the tool Adobe XD and its features while working on the design pitch. I learned how to organize my files to make the workflow efficient. Also, I learned more about how to present my design screens. 

5. Co-curricular:

Don’t forget to charge your laptop before any important call and to keep the charger handy. Also, close all your Google chrome tabs, you don’t want them to peak at your mess. Another interesting thing is to try to document your design progress. I maintained this in the Miro board application. This has helped me to view my progression from the first design and see how much I have improved.

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PASSED…

About the Author:

Diya is an architect turned UI/UX Designer, currently working at Mantra Labs. She values designing experiences for both physical and digital spaces.

Want to know more about designing?

Read our blog: Designing for Web 3.0

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Smart Machines & Smarter Humans: AI in the Manufacturing Industry

We have all witnessed Industrial Revolutions reshape manufacturing, not just once, but multiple times throughout history. Yet perhaps “revolution” isn’t quite the right word. These were transitions, careful orchestrations of human adaptation, and technological advancement. From hand production to machine tools, from steam power to assembly lines, each transition proved something remarkable: as machines evolved, human capabilities expanded rather than diminished.

Take the First Industrial Revolution, where the shift from manual production to machinery didn’t replace craftsmen, it transformed them into skilled machine operators. The steam engine didn’t eliminate jobs; it created entirely new categories of work. When chemical manufacturing processes emerged, they didn’t displace workers; they birthed manufacturing job roles. With each advancement, the workforce didn’t shrink—it evolved, adapted, and ultimately thrived.

Today, we’re witnessing another manufacturing transformation on factory floors worldwide. But unlike the mechanical transformations of the past, this one is digital, driven by artificial intelligence(AI) working alongside human expertise. Just as our predecessors didn’t simply survive the mechanical revolution but mastered it, today’s workforce isn’t being replaced by AI in manufacturing,  they’re becoming AI conductors, orchestrating a symphony of smart machines, industrial IoT (IIoT), and intelligent automation that amplify human productivity in ways the steam engine’s inventors could never have imagined.

Let’s explore how this new breed of human-AI collaboration is reshaping manufacturing, making work not just smarter, but fundamentally more human. 

Tools and Techniques Enhancing Workforce Productivity

1. Augmented Reality: Bringing Instructions to Life

AI-powered augmented reality (AR) is revolutionizing assembly lines, equipment, and maintenance on factory floors. Imagine a technician troubleshooting complex machinery while wearing AR glasses that overlay real-time instructions. Microsoft HoloLens merges physical environments with AI-driven digital overlays, providing immersive step-by-step guidance. Meanwhile, PTC Vuforia’s AR solutions offer comprehensive real-time guidance and expert support by visualizing machine components and manufacturing processes. Ford’s AI-driven AR applications of HoloLens have cut design errors and improved assembly efficiency, making smart manufacturing more precise and faster.

2. Vision-Based Quality Control: Flawless Production Lines

Identifying minute defects on fast-moving production lines is nearly impossible for the human eye, but AI-driven computer vision systems are revolutionizing quality control in manufacturing. Landing AI customizes AI defect detection models to identify irregularities unique to a factory’s production environment, while Cognex’s high-speed image recognition solutions achieve up to 99.9% defect detection accuracy. With these AI-powered quality control tools, manufacturers have reduced inspection time by 70%, improving the overall product quality without halting production lines.

3. Digital Twins: Simulating the Factory in Real Time

Digital twins—virtual replicas of physical assets are transforming real-time monitoring and operational efficiency. Siemens MindSphere provides a cloud-based AI platform that connects factory equipment for real-time data analytics and actionable insights. GE Digital’s Predix enables predictive maintenance by simulating different scenarios to identify potential failures before they happen. By leveraging AI-driven digital twins, industries have reported a 20% reduction in downtime, with the global digital twin market projected to grow at a CAGR of 61.3% by 2028

4. Human-Machine Interfaces: Intuitive Control Panels

Traditional control panels are being replaced by intuitive AI-powered human-machine interfaces (HMIs) which simplify machine operations and predictive maintenance. Rockwell Automation’s FactoryTalk uses AI analytics to provide real-time performance analytics, allowing operators to anticipate machine malfunctions and optimize operations. Schneider Electric’s EcoStruxure incorporates predictive analytics to simplify maintenance schedules and improve decision-making.

5. Generative AI: Crafting Smarter Factory Layouts

Generative AI is transforming factory layout planning by turning it into a data-driven process. Autodesk Fusion 360 Generative Design evaluates thousands of layout configurations to determine the best possible arrangement based on production constraints. This allows manufacturers to visualize and select the most efficient setup, which has led to a 40% improvement in space utilization and a 25% reduction in material waste. By simulating layouts, manufacturers can boost productivity, efficiency and worker safety.

6. Wearable AI Devices: Hands-Free Assistance

Wearable AI devices are becoming essential tools for enhancing worker safety and efficiency on the factory floor. DAQRI smart helmets provide workers with real-time information and alerts, while RealWear HMT-1 offers voice-controlled access to data and maintenance instructions. These AI-integrated wearable devices are transforming the way workers interact with machinery, boosting productivity by 20% and reducing machine downtime by 25%.

7. Conversational AI: Simplifying Operations with Voice Commands

Conversational AI is simplifying factory operations with natural language processing (NLP), allowing workers to request updates, check machine status, and adjust schedules using voice commands. IBM Watson Assistant and AWS AI services make these interactions seamless by providing real-time insights. Factories have seen a reduction in response time for operational queries thanks to these tools, with IBM Watson helping streamline machine monitoring and decision-making processes.

Conclusion: The Future of Manufacturing Is Here

Every industrial revolution has sparked the same fear, machines will take over. But history tells a different story. With every technological leap, humans haven’t been replaced; they’ve adapted, evolved, and found new ways to work smarter. AI is no different. It’s not here to take over; it’s here to assist, making factories faster, safer, and more productive than ever.

From AR-powered guidance to AI-driven quality control, the factory floor is no longer just about machinery, it’s about collaboration between human expertise and intelligent systems. And at Mantra Labs, we’re diving deep into this transformation, helping businesses unlock the true potential of AI in manufacturing.

Want to see how AI-powered Augmented Reality is revolutionizing the manufacturing industry? Stay tuned for our next blog, where we’ll explore how AI in AR is reshaping assembly, troubleshooting, and worker training—one digital overlay at a time.

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